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张国鹏，从事与金融相关的机器学习和大数据研究工作，研究领域包括:（1）金融大数据分析与挖掘：基于高维、异构、多源的金融大数据，研发高效、可解释的机器学习模型，用于市场预测、风险识别与资产定价；（2）算法金融与智能决策：研究强化学习、多智能体系统等在量化交易、投资组合优化、算法风控等复杂动态金融决策中的应用与优化；（3）金融知识图谱与事件推理：结合自然语言处理与图神经网络技术，研究风险传导机制，分析...Detials

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A Sum-Utility Maximization Approach for Fairness Resource Allocation in Wireless Powered Body Area Networks

Release time:2023-09-03 Hits:

DOI number:10.1109/ACCESS.2019.2897576
Funded by:其他课题
First Author:申帅
Co-author:钱建生,程德强,Yang, Kun,张国鹏
Indexed by:Journal paper
Document Code:5b5bb294768da37301768fe239ff09a8
Volume:v 7,p20014-20022
Translation or Not:no
Date of Publication:2019-01-01

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